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Research in Computational Molecular Biology

26th Annual International Conference, RECOMB 2022, San Diego, CA, USA, May 22–25, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Itsik Pe'er

    1. Columbia University, New York, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13278)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: RECOMB 2022.

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About this book

This book constitutes the proceedings of the 26th Annual Conference on Research in Computational Molecular Biology, RECOMB 2022, held in San Diego, CA, USA in May 2022. The 17 regular and 23 short papers presented were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Extended Abstracts

    1. Front Matter

      Pages 1-1
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    2. Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation

      • Pınar Demetçi, Rebecca Santorella, Björn Sandstede, Ritambhara Singh
      Pages 3-19

    3. Semi-supervised Single-Cell Cross-modality Translation Using Polarbear

      • Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble
      Pages 20-35

    4. Transcription Factor-Centric Approach to Identify Non-recurring Putative Regulatory Drivers in Cancer

      • Jingkang Zhao, Vincentius Martin, Raluca Gordân
      Pages 36-51

    5. DeepMinimizer: A Differentiable Framework for Optimizing Sequence-Specific Minimizer Schemes

      • Minh Hoang, Hongyu Zheng, Carl Kingsford
      Pages 52-69

    6. MetaCoAG: Binning Metagenomic Contigs via Composition, Coverage and Assembly Graphs

      • Vijini Mallawaarachchi, Yu Lin
      Pages 70-85

    7. A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World

      • Agniva Chowdhury, Aritra Bose, Samson Zhou, David P. Woodruff, Petros Drineas
      Pages 86-106

    8. Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model

      • Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing
      Pages 107-125

    9. Real-Valued Group Testing for Quantitative Molecular Assays

      • Seyran Saeedi, Myrna Serrano, Dennis G. Yang, J. Paul Brooks, Gregory A. Buck, Tomasz Arodz
      Pages 126-142

    10. On the Effect of Intralocus Recombination on Triplet-Based Species Tree Estimation

      • Max Hill, Sebastien Roch
      Pages 143-158

    11. QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data

      • Sazan Mahbub, Shashata Sawmya, Arpita Saha, Rezwana Reaz, M. Sohel Rahman, Md. Shamsuzzoha Bayzid
      Pages 159-176

    12. Safety and Completeness in Flow Decompositions for RNA Assembly

      • Shahbaz Khan, Milla Kortelainen, Manuel Cáceres, Lucia Williams, Alexandru I. Tomescu
      Pages 177-192

    13. NetMix2: Unifying Network Propagation and Altered Subnetworks

      • Uthsav Chitra, Tae Yoon Park, Benjamin J. Raphael
      Pages 193-208

    14. Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction

      • Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang
      Pages 209-229

    15. Fast, Flexible, and Exact Minimum Flow Decompositions via ILP

      • Fernando H. C. Dias, Lucia Williams, Brendan Mumey, Alexandru I. Tomescu
      Pages 230-245

    16. Co-linear Chaining with Overlaps and Gap Costs

      • Chirag Jain, Daniel Gibney, Sharma V. Thankachan
      Pages 246-262

    17. The Complexity of Approximate Pattern Matching on de Bruijn Graphs

      • Daniel Gibney, Sharma V. Thankachan, Srinivas Aluru
      Pages 263-278

    18. ProTranslator: Zero-Shot Protein Function Prediction Using Textual Description

      • Hanwen Xu, Sheng Wang
      Pages 279-294

  3. Short Papers

    1. Front Matter

      Pages 295-295
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  1. Research in Computational Molecular Biology

Editors and Affiliations

  • Columbia University, New York, USA

    Itsik Pe'er

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